With its ability to ingest, process, and decipher an abundance of incoming data, the Big Data is considered by many a cornerstone of future research and development. However, the large number of available tools and the overlap between those are impeding their technological potential. In this paper, we present a systematic grouping of the available tools and present a network of dependencies among those with the aim of composing individual tools into functional software stacks required to perform Big Data analyses. Deciphering Big Data Stacks: An Overview of Big Data Tools